update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: my_billsum_model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# my_billsum_model
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5348
+- Rouge1: 0.1375
+- Rouge2: 0.05
+- Rougel: 0.1161
+- Rougelsum: 0.1161
+- Gen Len: 19.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 55   | 2.8601          | 0.1257 | 0.0339 | 0.1051 | 0.1051    | 19.0    |
+| No log        | 2.0   | 110  | 2.6251          | 0.1302 | 0.0403 | 0.1095 | 0.1095    | 19.0    |
+| No log        | 3.0   | 165  | 2.5539          | 0.1359 | 0.0476 | 0.1146 | 0.1146    | 19.0    |
+| No log        | 4.0   | 220  | 2.5348          | 0.1375 | 0.05   | 0.1161 | 0.1161    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Tokenizers 0.13.3